code: def roberta_large_cfg():
      cfg = base_cfg()
      cfg.model_name = "fairseq_roberta_large"
      cfg.batch_size = 2
      cfg.num_accumulated = 6
      cfg.epochs = 3
      cfg.lr = 3e-5
      cfg.warmup_ratio = 0.2
      cfg.wd = 0.01
      return cfg
  
file_path: gluon-nlp/docs/model_zoo/question_answering/commands/generate_commands.py
imports: import re
  import os
  from gluonnlp.utils.config import CfgNode
label_desc: Use image node_id 10 for calling a global function with example usage: roberta_large_cfg() and returns: cfg